Comparison with recent studies: Comparison with recent studies. by Islam Zada (21755819)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Review of recent relevant studies along with the present study. by Kuiyuan Pan (21145338)

Recent benchmark studies. by Al Mahmud Siam (21728789)

Data and code resources. by Sam Hall-McMaster (10343795)

Comparison of proposed model with default ML classifiers and recent existing studies. by Ankur Kumar (1357440)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …”

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Although the precise relationship with mitochondrial pathways remains elusive, recent advances in machine learning present an avenue for further investigation. …”

Hardware_code. by Mehdi Nadiri Andabili (22097275)

“…<div><p>Neuromorphic computing has got more attention in various tasks during recent years. The main goal of this field is to explore neural functionality in the brain. …”

Software_code. by Mehdi Nadiri Andabili (22097275)

“…<div><p>Neuromorphic computing has got more attention in various tasks during recent years. The main goal of this field is to explore neural functionality in the brain. …”

Performance comparison of the proposed model against recent studies (related to Table 7). by Islam Zada (21755819)

Recent advances in ISRR. by Haixia Liu (764025)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”